How to Use Real Estate Web Scraping to Gain Valuable Insights
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Need structured data from one of Eastern Europe’s largest online marketplaces? Our eMAG scraper gives you instant access to product listings, dynamic pricing, and live availability — straight from Romania’s e-commerce giant.
We don’t offer scraping tools — we deliver clean data from eMAG, ready to use. Whether you're monitoring competitor prices, mapping out seller activity, or importing listings into your system, we extract exactly what you need. The process is hands-off on your end: no setup, no parsing — just reliable, structured data delivered to fit your workflow.
When we scrape eMAG, our eMAG data scraper focuses on capturing complete product information as it appears on the platform. This includes detailed product names, brand affiliations, and internal SKUs or offer IDs. Pricing data is fully covered — both standard retail prices and promotional offers like “Super Preț” and “WOW” deals. We also gather delivery details, such as stock status, pickup options (like easybox), cross-border shipping, and Genius program eligibility.
Beyond pricing and availability, our eMAG data scraper extracts category paths, brand filters, and product attributes — including size, color, weight, screen dimensions, or energy class, depending on the category. Ratings and review counts are collected from both product cards and detail pages. Metadata like packaging dimensions, product condition (new or refurbished), and available promo badges are also included, so you get a full and accurate view of how each item is presented on eMAG.
With eMAG, there's a rich layer of seller and buyer dynamics you can extract. Our eMAG scraper captures Genius subscription badges (free fast delivery and 60-day returns), installment options through PayU, and "Super Preț" or "WOW" promotional labels. You’ll also get insights into Easybox locker delivery, cross-border shipping flags, marketplace ads visibility, and structured campaign data. Our extractor even logs brand-specific filters and category campaigns, allowing you to map out how sellers position their offers and how eMAG promotes them internally.
This gives you more than just product facts — you gain a window into eMAG’s sales mechanics, logistics options, financing trends, and promotional ecosystem.
eMAG, founded in 2001 in Romania, has grown into the leading online marketplace in Southeastern Europe. It serves Romania, Hungary, and Bulgaria, offering access to over 22 million listed products and reaching more than 9 million active users across the region. eMAG supports a multilingual experience with localized websites (RO, HU, BG) and convenient payment in local currencies.
The platform is backed by Prosus — Naspers, and has consistently led market growth, with revenue around US $845 million in 2022, securing its position as a dominant player in Romanian e-commerce. It pioneered several regional innovations such as installment payments, cross-border sales, and proprietary logistics, including the Genius Easybox locker network with nearly 5,000 pickup points in Romania, Hungary, and Bulgaria.
Leveraging emag.ro, strong brand recognition, reliable customer support, and expansive logistics, thousands of merchants have grown their sales — some seeing increases of 20–40% within months of joining the marketplace. With a robust ecosystem including Fulfillment by eMAG, in-platform ads, and regional campaigns, eMAG continues to shape e-commerce trends in Central and Eastern Europe.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for eMAG — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Using an eMAG web scraper, scraping eMAG helps you unlock valuable insights in one of Eastern Europe’s most vibrant marketplaces. You can monitor competitive pricing, track promotional campaigns like “Super Preț” and “WOW” deals, and analyze seller activity across multiple categories. It’s a great way to automate product imports, stay updated on stock levels and shipping options, and understand regional buying patterns. Whether you’re a retailer, data analyst, or marketplace seller, eMAG data lets you tailor strategies based on real market signals.
Learn how to use web scraping to solve data problems for your organization
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
At ScrapeIt, we skip the technical hassle so you get straight to the data that matters. No need to build your own scraper or fiddle with APIs — we deliver ready-to-use, clean eMAG data tailored to your needs. Whether it’s pricing updates, inventory snapshots, or detailed product info, we handle extraction, parsing, and formatting. You focus on growing your business, we handle the heavy lifting.
Yes, we can tailor data extraction to focus solely on the categories you need, whether electronics, fashion, or home appliances.
Definitely. We provide recurring data pulls to monitor price fluctuations, promotions, and stock updates over time.
Yes, we cover Romania, Hungary, and Bulgaria, including localized pricing, languages, and delivery options.
We offer flexible exports including CSV, Excel, and JSON to fit your system’s requirements.
Typically within 24 to 72 hours, with options for priority processing if needed.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
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NIP: 5423457175
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